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Google Maps Scraper

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Google Maps Scraper

Google Maps Scraper

compass/crawler-google-places
Try for free

No credit card required

Extract data from hundreds of Google Maps locations and businesses. Get Google Maps data including reviews, images, contact info, opening hours, location, popular times, prices & more. Export scraped data, run the scraper via API, schedule and monitor runs, or integrate with other tools.

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You can access the Google Maps Scraper programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "searchStringsArray": ["restaurant"],
10    "locationQuery": "New York, USA",
11    "maxCrawledPlacesPerSearch": 50,
12    "language": "en",
13    "maxImages": 1,
14    "maxReviews": 0,
15    "maxQuestions": 0,
16    "countryCode": "",
17    "allPlacesNoSearchAction": "",
18}
19
20# Run the Actor and wait for it to finish
21run = client.actor("compass/crawler-google-places").call(run_input=run_input)
22
23# Fetch and print Actor results from the run's dataset (if there are any)
24print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
25for item in client.dataset(run["defaultDatasetId"]).iterate_items():
26    print(item)
27
28# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

📍 Google Maps Scraper API in Python

The Apify API client for Python is the official library that allows you to use Google Maps Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Apify
Actor metrics
  • 3.2k monthly users
  • 391 stars
  • 98.1% runs succeeded
  • 3.7 days response time
  • Created in Nov 2018
  • Modified about 4 hours ago